Practical IT insights for nonprofit leaders. Guides on cybersecurity, AI, managed IT, fundraising technology, and strategic planning to help your organization get more from its technology investment.
A security-first, step-by-step guide to cloud migration for nonprofits, covering cost, timeline, the Scottship 5-phase playbook, and the security checklist.
92% of nonprofits use AI but only 7% see real impact. Here are five areas where AI actually delivers measurable results for nonprofit operations.
92% of nonprofits use AI but only 7% see results. This 5-phase roadmap covers policy, pilots, training, and scaling with real costs.
A practical guide to the best AI tools for nonprofits in 2026, comparing 10 platforms by use case, pricing, nonprofit discounts, and governance risk.
The short answer: A small nonprofit can build a strong cybersecurity foundation for $0–$1,500/year using Microsoft’s free nonprofit grant (which includes enterprise-grade endpoint and email protection), Bitwarden for password management, and KnowBe4 for staff phishing training. The tools are not budget versions — they are the same platforms large organizations
TL;DR: Scottship Solutions breaks down what nonprofits actually pay for fractional CIO services: monthly retainers run $2,000–$8,000/month, hourly work runs $150–$300/hour, and defined projects run $5,000–$25,000. The right model depends on your size, IT complexity, and how much ongoing strategic leadership you need. This post covers the three pricing structures,
Enterprise architecture aligns your nonprofit tech, data, and processes with your mission. Learn what EA means, why you need it, and how to start small.
OpenAI shut down Sora after burning $15M/day. What the collapse teaches nonprofits about AI vendor risk, tool selection, and building workflows that survive.
Sub-agents are specialized AI assistants that work in parallel to handle complex tasks. Learn how they outperform single AI by 90% and what it means for your organization.
Build a data management strategy for your nonprofit. Fix data silos, choose the right CRM, and turn messy data into actionable insights.
